AI Agent Boundary Diagnostics

How far can your
AI agent go?

We test whether an AI agent stays within the authorized user, data, action, tool, and network boundaries by executing realistic business scenarios and preserving traceable evidence.

Pre-production or liveMock data preferredEvidence-based reporting
BOUNDARY TEST / HR DATA
REQUESTShow employee D's salaryactor: employee_c
Employee C
AI Agent
Authorization
HR DB
DENYUnauthorized data access blockedalternative DB / DWH / file / RAG: not attempted
IdentityUser, role, department
DataDB, RAG, files, SaaS
ActionsRead, update, send, delete
EvidenceDecisions and tool execution
Why It Matters

Having access controls is not the same as proving the agent respects them.

Agents interpret natural language and choose tools and data sources. A restriction on one path may be bypassed through another service account, API, index, or file store.

01

Unauthorized data access

Test whether an employee can obtain another employee's salary, performance-review, or job-transfer information through AI.

02

Alternative-path bypass

Verify that denial by the primary HR database does not lead the agent to a DWH, file store, RAG index, or another API.

03

Unstable decisions

Repeat equivalent requests to determine whether authorization and denial behavior remain consistent.

Mock HR Scenario

Test allowed, unauthorized, and bypass requests side by side.

ALLOWEmployee C requests their own payslip
DENYEmployee C requests employee D's salary
DENYSearch other DBs, DWH, files, or RAG after denial
Employee Cown data only
AI Agentacts for the user
Authorizationuser / subject / action
Own record ALLOWEmployee D salary DENYAlternative paths NOT ATTEMPTED
Start With A Conversation

You do not need a fully defined scope to contact us.

A high-level description of the agent, users, connected systems, and boundary concerns is enough for an initial discussion.

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